Triple
T21106368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | May Daly |
E520054
|
entity |
| Predicate | settingOfIntroduction |
P76098
|
FINISHED |
| Object | nightclub |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: nightclub | Statement: [May Daly, settingOfIntroduction, nightclub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfIntroduction Context triple: [May Daly, settingOfIntroduction, nightclub]
-
A.
sectionIntroduced
Indicates that a particular section was introduced or added at a specific point in time or context.
-
B.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
C.
introductionContext
chosen
Indicates the situational or background circumstances under which an introduction between entities takes place.
-
D.
subjectOfIntroduction
Indicates that one entity is the topic or focus being introduced by another entity.
-
E.
settingDescription
Indicates the descriptive details or characteristics that define the context or environment in which something occurs.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b62301c819082cfc6cb3cd11c8c |
completed | April 21, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:53 p.m.